192 citations · 280 across the 5 of their papers we have counts for
4 papers · 1 filter
Stochastic Testing Method for Transistor-Level Uncertainty Quantification Based on Generalized Polynomial Chaos
Zheng Zhang, Tarek A. El-Moselhy, Ibrahim +2
Uncertainties have become a major concern in integrated circuit design. In order to avoid the huge number of repeated simulations in conventional Monte Carlo flows, this paper pres…
Calculation of Generalized Polynomial-Chaos Basis Functions and Gauss Quadrature Rules in Hierarchical Uncertainty Quantification
Zheng Zhang, Tarek A. El-Moselhy, Ibrahim +2
Stochastic spectral methods are efficient techniques for uncertainty quantification. Recently they have shown excellent performance in the statistical analysis of integrated circui…
Efficient Uncertainty Quantification for the Periodic Steady State of Forced and Autonomous Circuits
Zheng Zhang, Tarek A. El-Moselhy, Paolo Maffezzoni +3
This brief paper proposes an uncertainty quantification method for the periodic steady-state (PSS) analysis with both Gaussian and non-Gaussian variations. Our stochastic testing f…
Stochastic Testing Simulator for Integrated Circuits and MEMS: Hierarchical and Sparse Techniques
Zheng Zhang, Xiu Yang, Giovanni Marucci +5
Process variations are a major concern in today's chip design since they can significantly degrade chip performance. To predict such degradation, existing circuit and MEMS simulato…